SOTAVerified

Instance Segmentation

Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.

Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21

Papers

Showing 18011825 of 2262 papers

TitleStatusHype
How Shift Equivariance Impacts Metric Learning for Instance SegmentationCode0
One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask FeaturesCode0
Weakly Supervised Multi-Object Tracking and Segmentation0
ASIST: Annotation-free Synthetic Instance Segmentation and Tracking by Adversarial Simulations0
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation0
Aggregation With Feature Detection0
Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials0
Contextual Graph Reasoning Networks0
EMPIRICAL UPPER BOUND IN OBJECT DETECTION0
Learning a unified label space0
X-World: Accessibility, Vision, and Autonomy Meet0
Robust 2D/3D Vehicle Parsing in Arbitrary Camera Views for CVISCode0
Instance Segmentation of Industrial Point Cloud Data0
Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet0
A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection0
REFINE: Prediction Fusion Network for Panoptic Segmentation0
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection0
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty EstimatesCode0
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions0
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics0
Learning Video Instance Segmentation with Recurrent Graph Neural Networks0
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation0
CARAFE++: Unified Content-Aware ReAssembly of FEatures0
BoxInst: High-Performance Instance Segmentation with Box Annotations0
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8Unverified
2ResNeSt-200 (multi-scale)AP5070.2Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8Unverified
5Co-DETRmask AP57.1Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1Unverified
7ISDA (ResNet-50)APL55.7Unverified
8EVAmask AP55.5Unverified
9FD-SwinV2-Gmask AP55.4Unverified
10Mask Frozen-DETRmask AP55.3Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501Unverified
2Co-DETRmask AP56.6Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9Unverified
4InternImage-Hmask AP55.4Unverified
5EVAmask AP55Unverified
6Mask Frozen-DETRmask AP54.9Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified